econdatar-package | R Documentation |
Automation of data tasks to and from <https://codera.co.za> econometric data services. Using this package users can download data from <https://www.econdata.co.za> directly into R (in tidy format) after signing up for a free account. <https://www.econdata.co.za> hosts a comprehensive database of South African macroeconomic data. For support and tutorials please see <https://econdata.co.za>.
This package provides an interface to Codera Analytic's econometric data service (https://codera.co.za) and the EconData database (https://www.econdata.co.za) in particular.
EconData enables automation of analytical workflows that depend on public domain or third-party data. It is also a leading-edge forecast management system, enabling data and model automation and best practice data and model governance. EconData supports data-sharing across databases and within institutions, codifies modelling process flows and provides user-level access control. EconData makes it easy to securely manage and share model scenarios and forecast vintages.
The EconData Registry provides a central data glossary of data concepts and the information necessary to access and interpret data and associated metadata.
Codera also uses EconData to automate models, do research, and create value-added products such as interactive scenario dashboards. These dashboards and forecasts are made available to our clients.
Maintainer: Byron Botha <econdata@codera.co.za>
https://www.econdata.co.za https://econdata.co.za
## Not run:
# library(econdatar)
# Return all data sets (useful for browsing available data)
CATALOGUE <- read_database(id = "all", tidy = TRUE)
# Mining production and sales
MINING <- read_dataset(id = "MINING", tidy = TRUE)
## End(Not run)
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